Myristicin: From its biological effects in traditional medicine in plants to preclinical studies and use as ecological remedy in plant protection
Bibliographic record
Abstract
Abstract Myristicin is an allylbenzene and a major key constituent of many plant species, such as Myristica fragrans Houtt. (nutmeg), Foeniculum vulgare Mill. (fennel), and Petroselinum crispum (Mill.) Fuss (parsley). Their plant parts have been used in traditional medicine and as a flavoring seasoning for cooking but, and as biopesticides with natural compounds. Myristicin has been related with several biological effects, such as anticarcinogenic, anti‐inflammatory, antimicrobial, antioxidant, antidiabetic, analgesic, and hepatoprotective. The traditional uses include the treatment of complications related to gastrointestinal tract, respiratory system, and gynecological disorders. However, several studies have been reported contraindications associated to high dose consumption of myristicin. This review summarizes the biological activities of myristicin and myristicin‐rich plants, toxicological effects along with its bioavailability, and metabolism. In addition, their traditional uses and their role as ecological remedy in plants protection has been reviewed. Nutmeg is the myristicin‐rich plant with more pharmacological effects reported but also with most contraindication and toxically reports.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".